Title :
Neural network based model for classification of music type
Author :
Matityaho, Benyamin ; Furst, Miriam
Author_Institution :
Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
Abstract :
We can easily tell which type of music, like pop or classic, is played after listening to a few seconds of the music. But when looking at signal representation of the music, no clear difference can be seen. We propose a new approach to recognize the music type, using a multi-layer neural network as the decision making system. The presented model for classifying two types of music showed 100% success with a simple model based on a neural network.
Keywords :
feedforward neural nets; multilayer perceptrons; music; pattern classification; signal representation; decision making system; multi-layer neural network; music type classification; neural network based model; signal representation; Decision making; Ear; Frequency; Humans; Independent component analysis; Multi-layer neural network; Multiple signal classification; Neural networks; Performance analysis; Signal processing;
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1995., Eighteenth Convention of
Conference_Location :
Tel Aviv, Israel
Print_ISBN :
0-7803-2498-6
DOI :
10.1109/EEIS.1995.514161